Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 801 to 900 (from 5,048) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 51  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 801  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.30804,335
 802  A*29-B*13-DRB1*07-DQB1*02  Mexico Guanajuato Rural 0.3067162
 803  A*30:01-B*13:02-DRB1*07:01  Israel Ethiopia Jews 0.30405,928
 804  A*02:01-B*13:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Tlalpan 0.3030330
 805  A*01-B*13-DRB1*07  Brazil South Ribeirao Preto 0.3000184
 806  A*02:01-B*13:02-C*06:02-DRB1*12:01-DQA1*05:01-DQB1*05:01-DPB1*144:01  South Africa Worcester 0.3000159
 807  A*03:01-B*13:03-C*08:04-DRB1*07:01-DQA1*01:02-DQB1*02:02-DPB1*04:01  South Africa Worcester 0.3000159
 808  A*03-B*13-DRB1*07  Germany pop 7 0.300013,386
 809  A*23:01-B*13:03-C*12:03-DRB1*07:01-DQA1*01:02-DQB1*06:02-DPB1*01:01  South Africa Worcester 0.3000159
 810  A*24-B*13-DRB1*07  Germany pop 7 0.300013,386
 811  A*26-B*13-DRB1*07  Brazil South Ribeirao Preto 0.3000184
 812  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  South Africa Worcester 0.3000159
 813  A*30-B*13-DRB1*07  Brazil South Ribeirao Preto 0.3000184
 814  A*30-B*13-DRB1*11  China Shaanxi Province Han 0.300010,000
 815  A*30-B*13-DRB1*11  Italy Lombardy 0.3000674
 816  A*33:03-B*13:03-C*12:03-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*47:01  South Africa Worcester 0.3000159
 817  A*74-B*13-DRB1*01  Brazil South Ribeirao Preto 0.3000184
 818  A*02-B*13-DRB1*16-DQB1*05  Mexico Jalisco, Zapopan 0.2976168
 819  A*30-B*13-DRB1*04-DQB1*03:02  Mexico Jalisco, Zapopan 0.2976168
 820  A*30-B*13-DRB1*07-DQB1*02  Mexico Jalisco, Zapopan 0.2976168
 821  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*17:01  Russia Karelia 0.29401,075
 822  A*02-B*13-DRB1*07-DQB1*02  Mexico Veracruz, Veracruz city 0.2907171
 823  A*26-B*13-DRB1*07-DQB1*02  Mexico Veracruz, Veracruz city 0.2907171
 824  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.28831,734
 825  A*24:02-B*13:01-DRB1*15:01  Hong Kong Chinese cord blood registry 0.28723,892
 826  A*01:01:01-B*13:01:01-C*07:02:01-DRB1*13:02:01-DQB1*06:09:01  India Karnataka Kannada Speaking 0.2870174
 827  A*01:01:01-B*13:02:01-C*06:02:01-DRB1*13:02:01-DQB1*02:01:01  India Karnataka Kannada Speaking 0.2870174
 828  A*02:11:01-B*13:02:01-C*12:02:02-DRB1*04:01:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 829  A*03:01:01-B*13:02:01-C*08:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 830  A*11:01:01-B*13:01:01-C*04:01:01-DRB1*14:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 831  A*23:01:01-B*13:01:01-C*04:03:01-DRB1*12:02:01-DQB1*02:03  India Karnataka Kannada Speaking 0.2870174
 832  A*24:02:01-B*13:01:01-C*04:03:01-DRB1*15:02:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 833  A*26:01:01-B*13:01:01-C*04:03:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 834  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  India Karnataka Kannada Speaking 0.2870174
 835  A*31:01:02-B*13:01:01-C*04:03:01-DRB1*13:02:01-DQB1*06:05:01  India Karnataka Kannada Speaking 0.2870174
 836  A*31:01:02-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 837  A*31:01:02-B*13:02:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 838  A*69:01-B*13:02:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01  India Karnataka Kannada Speaking 0.2870174
 839  A*02-B*13-DRB1*07-DQB1*02  Mexico Michoacan Rural 0.2865348
 840  A*30-B*13-DRB1*13-DQB1*06  Mexico Michoacan Rural 0.2865348
 841  A*02-B*13-DRB1*07  Brazil South East Cord Blood 0.285011,409
 842  A*11:01-B*13:01-C*03:04-DRB1*04:05  Hong Kong Chinese BMDR 0.28467,595
 843  A*30:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2824192
 844  A*02:01:01-B*13:01:01-C*04:03:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.2810356
 845  A*11:01-B*13:02-DRB1*07:01  Israel Bukhara Jews 0.28102,317
 846  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.2810356
 847  A*30:01-B*13:02-DRB1*11:04  Israel Arab pop 2 0.281012,301
 848  A*02:01-B*13:01-C*03:04-DRB1*15:01  Hong Kong Chinese BMDR 0.27987,595
 849  A*30:01-B*13:02-DRB1*07:01  Israel Iran Jews 0.27908,153
 850  A*02-B*13-DRB1*07  Brazil Para State 0.27885,000
 851  A*01-B*13-DRB1*07-DQB1*02  Mexico Veracruz Rural 0.2773539
 852  A*03-B*13-DRB1*07-DQB1*02  Mexico Tlaxcala, Tlaxcala city 0.2762181
 853  A*02:01-B*13:01-C*03:04-DRB1*15:01  Germany DKMS - China minority 0.27601,282
 854  A*01-B*13-DRB1*07-DQB1*02  Mexico Sinaloa Rural 0.2732183
 855  A*24:02-B*13:01-C*04:03-DRB1*15:01-DQB1*06:01  India North UCBB 0.27085,849
 856  A*11:01-B*13:01-C*03:04-DRB1*12:02  Germany DKMS - China minority 0.27001,282
 857  A*30-B*13-DRB1*07:01  Colombia Barranquilla 0.2700188
 858  A*30-B*13-DRB1*10:01  Colombia Barranquilla 0.2700188
 859  A*02:06:01-B*13:01:01-C*08:01:01-DRB1*15:01:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 860  A*24:02:01-B*13:01:01-C*04:03:01-DRB1*13:01:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 861  A*26:01:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DQB1*05:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 862  A*68:01:02-B*13:01:01-C*04:03:01-DRB1*15:02:02-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 863  B*13:01-C*04:03  USA Asian pop 2 0.26801,772
 864  A*29-B*13-DRB1*13-DQB1*06  Mexico Veracruz, Xalapa 0.2674187
 865  A*24-B*13-C*06-DRB1*07  Macedonia MBMDR - Macedonian 0.26711,283
 866  A*01:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Greece minority 0.26701,894
 867  A*24:02-B*13:01-C*04:03-DRB1*15:01-DQB1*06:01  India Central UCBB 0.26704,204
 868  A*31:08-B*13:02-DRB1*07:01  Israel USSR Jews 0.263045,681
 869  A*30-B*13-DRB1*07:01  Chile Santiago 0.2627920
 870  A*30:01-B*13:02-DRB1*07:01  Israel USA Jews 0.26206,058
 871  A*02:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*15:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 872  A*02:01:01:01-B*13:02:01-C*07:01:01-DRB1*01:01:01-DQB1*05:04  Russia Bashkortostan, Tatars 0.2604192
 873  A*02:06:01-B*13:02:01-C*06:02:01:01-DRB1*08:03:02-DQB1*06:04:01  Russia Bashkortostan, Tatars 0.2604192
 874  A*24:02:01:01-B*13:02:01-C*02-DRB1*01:02:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2604192
 875  A*24:02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2604192
 876  A*24:02:01:01-B*13:02:01-C*06:02:01:01-DRB1*08:01:01-DQB1*04:02:01  Russia Bashkortostan, Tatars 0.2604192
 877  A*30:01:01-B*13:02:01-C*05:01:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2604192
 878  A*30:01:01-B*13:02:01-C*06:02:01:01-DRB1*04:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 879  A*33:03:01-B*13:02:01-C*03:02:02-DRB1*10:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 880  A*68:01:02:02-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2604192
 881  A*68:24-B*13:02:01-C*07:04:01-DRB1*10:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 882  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  USA San Diego 0.2600496
 883  A*02:01-B*13:02-C*06:02-DRB1*13:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Diego 0.2600496
 884  A*02-B*13-C*12  Brazil Parana Japanese 0.2600192
 885  A*03:01-B*13:02-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  USA San Diego 0.2600496
 886  A*03:01-B*13:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:01  USA San Diego 0.2600496
 887  A*03:01-B*13:02-DRB1*07:01  Israel Ethiopia Jews 0.26005,928
 888  A*11:01-B*13:01-C*03:04-DRB1*11:01-DQA1*05:01-DQB1*06:01-DPB1*05:01  USA San Diego 0.2600496
 889  A*26:01-B*13:01-C*03:04-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 890  A*26:01-B*13:02-C*02:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  USA San Diego 0.2600496
 891  A*26:01-B*13:02-C*06:02-DRB1*11:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  USA San Diego 0.2600496
 892  A*30:01-B*13:02-C*06:02-DRB1*01:03-DQA1*01:01-DQB1*05:01-DPB1*04:01  USA San Diego 0.2600496
 893  A*32:01-B*13:02-C*07:04-DRB1*15:01-DQA1*01:01-DQB1*06:02-DPB1*04:01  USA San Diego 0.2600496
 894  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.25951,734
 895  A*01:01-B*13:02-C*06:02-DRB1*07:01  Poland DKMS 0.258420,653
 896  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.25815,266
 897  A*02:01-B*13:01-C*03:04-DRB1*04:05-DQB1*04:01  Malaysia Peninsular Chinese 0.2577194
 898  A*02:01-B*13:01-C*16:01-DRB1*12:01-DQB1*02:01  Malaysia Peninsular Chinese 0.2577194
 899  A*02:03-B*13:01-C*07:04-DRB1*14:05-DQB1*06:01  Malaysia Peninsular Chinese 0.2577194
 900  A*02:06-B*13:01-C*03:04-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).


Displaying 801 to 900 (from 5,048) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 51  


   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional